Re: Unconditional Linear Growth Model using SPSS

Posted by Maguin, Eugene on Jul 01, 2019; 7:33pm
URL: http://spssx-discussion.165.s1.nabble.com/Unconditional-Linear-Growth-Model-using-SPSS-tp5738125p5738127.html

I added the listserv so that others can see your replies. 

Your subject line says "... liner growth model" but you have that repeated measures specification. I don't understand that.  Would you explain.

Also, 111 leaders within 9 organizations. What's the range in the number of persons rating each leader?

Gene Maguin

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From: Samantha Penney <[hidden email]>
Sent: Monday, July 1, 2019 10:11 AM
To: Maguin, Eugene
Subject: Re: Unconditional Linear Growth Model using SPSS

 

Good morning, 

Thank you for inquiring. 

I apologize. That was a mistake on my part. 

There are 111 leaders across 9 organizations. 

Y (DV) are leaders individual ratings across 5 subscales. As I mentioned, I am able to run the syntax for some DVs but not others. The DVs are all very similar given that they are subscales. 

Thank you in advance. 

Samantha 

On Mon, Jul 1, 2019 at 10:06 AM Maguin, Eugene <[hidden email]> wrote:

Would you describe your study. As i understand it, given what you've said, you have a two  level (organizations within leaders) model with a repeated measures factor (time). Seven of the eight of the leaders lead one organization and one leader leads two organizations. Is this accurate?
You are measuring something, let's call it Y. How are values of Y determined--that is, is Y an aggregate of the organization like gross income or is it the ratings of the organization by its employees or by an external entity?

Gene Maguin


________________________________________
From: SPSSX(r) Discussion <[hidden email]> on behalf of sapen <[hidden email]>
Sent: Sunday, June 30, 2019 2:02 PM
To: [hidden email]
Subject: Unconditional Linear Growth Model using SPSS

Getting the following errors when running a null model to assessing ICC for
some DVs but not all.
For reference:
-3-time points
-8 leaders
-9 organizations

64 Mixed The final Hessian matrix is not positive definite although all
convergence criteria are satisfied. The MIXED procedure continues despite
this warning. Validity of subsequent results cannot be ascertained.

This covariance parameter is redundant. The test statistic and confidence
interval cannot be computed.

MIXED Support
  /CRITERIA=CIN(95) MXITER(100) MXSTEP(10) SCORING(1)
SINGULAR(0.000000000001) HCONVERGE(0,
    ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE)
  /FIXED=| SSTYPE(3)
  /METHOD=ML
  /PRINT=G  SOLUTION TESTCOV
  /RANDOM=INTERCEPT | SUBJECT(Organization) COVTYPE(ID)
  /RANDOM=INTERCEPT | SUBJECT(LeaderWinOrg*Organization) COVTYPE(ID)
  /REPEATED=Time | SUBJECT(LeaderWinOrg*Organization) COVTYPE(DIAG).




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